Results 41 to 50 of about 6,349,849 (305)
Generalized Trust and Social Selection Process
Generalized trust relieves individuals in a socially uncertain situation from dyadic constraints of existing ties and helps them change ties with other individuals to acquire better resources.
Tasuku Igarashi, Taro Hirashima
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Generalized Hermite processes, discrete chaos and limit theorems [PDF]
We introduce a broad class of self-similar processes \{Z(t),t\ge 0\} called generalized Hermite process. They have stationary increments, are defined on a Wiener chaos with Hurst index H\in (1/2,1), and include Hermite processes as a special case.
Bai, Shuyang +3 more
core +1 more source
The spontaneously oscillating hair bundle of sensory cells in the inner ear is an example of a stochastic, nonlinear oscillator driven by internal active processes.
Janaki Sheth +2 more
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
SDE based Generalized Innovation Diffusion Modeling [PDF]
Diffusion models are rigorously implemented in marketing research to predict the actual trend of innovations over time. These models can be classified in terms of deterministic and stochastic behavior.
Shakshi Singhal +2 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
The 𝑀-Wright Function in Time-Fractional Diffusion Processes: A Tutorial Survey
In the present review we survey the properties of a transcendental function of the Wright type, nowadays known as 𝑀-Wright function, entering as a probability density in a relevant class of self-similar stochastic processes that we generally refer to as ...
Francesco Mainardi +2 more
doaj +1 more source
Further evaluating the generalized Itô correction for accelerating convergence of stochastic parameterizations with colored noise [PDF]
Stochastic parameterizations are increasingly used in numerical weather prediction to capture statistical properties of unresolved processes and model uncertainties.
W. Johns +4 more
doaj +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source

